Working with Python Datetime: Compare Dates and Times 💡 Problem Formulation: Developers are often required to manipulate and compare date and time objects in various programming scenarios. Specifically, in Python, one common task is finding whether a given datetime object falls between two other datetime objects. This article exemplifies how to solve this problem using … Read more
💡 Problem Formulation: In Python programming, managing dates and specifically adding days to a given date is a common task. For instance, you might have a date like “2023-03-15” and you want to know what the date will be 10 days later. This article explores various methods to add days to a date using Python’s … Read more
💡 Problem Formulation: Enabling the manipulation of Python datetime objects is essential for a wide range of applications. For example, one might need to add a certain number of seconds to the current time to schedule a future event, or increment a date by several years to calculate a maturity date. The input might be … Read more
💡 Problem Formulation: When working with Python dictionaries, it’s common to track events over time, requiring the use of datetime objects as keys. The challenge lies in ensuring that these keys are used consistently and effectively. Consider a scenario where one needs to store timestamps associated with specific events within a dictionary structure, with the … Read more
💡 Problem Formulation: In Python, the datetime module typically handles dates in the period after the Unix epoch (January 1, 1970). However, developers often face the challenge of representing and manipulating dates that predate this point. For instance, a legacy database could contain entries from the 1960s, and processing this information with Python’s datetime module … Read more
💡 Problem Formulation: You’re given a Python datetime object, and your goal is to convert it to a Julian day number. For instance, you want to transform the input ‘2023-03-23 12:00:00’ into the Julian day number ‘2459652’. This conversion is handy for astronomers, historians, and certain types of data scientists. Method 1: Using the datetime … Read more
💡 Problem Formulation: When working with dates and times in Python, you may often need to compare two datetime objects to determine which one is more recent, or “bigger”. For instance, comparing a user-inputted expiry date to the current date to validate if an offer is still valid. The desired output is a Boolean value … Read more
💡 Problem Formulation: When working with Python’s datetime objects, users often need to retrieve only the date part, excluding the time component. This is common when logging events, summarizing data, or comparing dates across records. The desired output would be to take a datetime object like datetime.datetime(2023, 4, 10, 18, 45) and extract just the … Read more
💡 Problem Formulation: Working with dates and times can be surprisingly complex. In particular, you might need to find out the calendar week number from a specific date in Python, such as converting ‘2023-04-12’ into the 15th week of the year. This article guides you through 5 different methods to achieve this, using Python’s powerful … Read more
💡 Problem Formulation: When working with dates in Python, a common requirement is to extract just the month and year from a datetime object. For instance, given the input datetime.datetime(2023, 4, 5), the desired output might be “April 2023”. This article will explore various methods to achieve this output efficiently. Method 1: Using strftime() Method … Read more
💡 Problem Formulation: When working with date and time in Python, it is a common task to compare datetime objects to determine which is earlier, later, or if they are equivalent. For example, given two datetime objects, datetime1 and datetime2, how do we ascertain whether datetime1 is before, after, or the same as datetime2? This … Read more
💡 Problem Formulation: When working with dates and times in Python, you may encounter situations where you need to isolate just the year from a datetime object. For instance, given the datetime ‘2023-04-01 15:23:00’, the desired output is simply ‘2023’. This article aims to explore various methods to achieve this extraction in a Pythonic way. … Read more